Volume-Weighted RSI with Adaptive SmoothingThis indicator is designed to provide traders with insights into the relative strength of a security by incorporating volume-weighted elements, effectively combining the concepts of Relative Strength Index (RSI) and volume-weighted averages to generate meaningful trading signals.
The indicator calculates the traditional RSI, which measures the speed and change of price movements, as well as the volume-weighted RSI, which considers the influence of trading volume on price action. It then applies adaptive smoothing to the volume-weighted RSI, allowing for customization of the smoothing process. The resulting smoothed volume-weighted RSI is plotted alongside the original RSI, providing traders with a comprehensive view of the price strength dynamics.
The line coloration in this indicator is designed to provide visual cues about the relationship between the RSI and the volume-weighted RSI. When the RSI line is above or equal to the volume-weighted RSI line, it suggests a potentially bullish condition with positive market momentum. In such cases, the line is colored lime. Conversely, when the RSI line (fuchsia) is below the volume-weighted RSI line, it indicates a potentially bearish condition with negative market momentum. The line color is set to fuchsia. By observing the line color, traders can quickly assess the relative strength between the RSI and the volume-weighted RSI, aiding their decision-making process.
The bar color and background color further enhance the visual interpretation of the indicator. The bar color reflects the RSI's relationship with the volume-weighted RSI and the predefined thresholds. If the RSI line is above both the volume-weighted RSI line and the overbought threshold (70), the bar color is set to lime, indicating a potentially overbought condition. Conversely, if the RSI line is below both the volume-weighted RSI line and the oversold threshold (30), the bar color is set to fuchsia, suggesting a potentially oversold condition. When the RSI line is between these two thresholds, the bar color is set to yellow, indicating a neutral or intermediate state. The background color, displayed with a semi-transparent shade, provides additional context by reflecting the prevailing market conditions. It turns lime if the volume-weighted RSI is above the overbought threshold, fuchsia if below the oversold threshold, and yellow if it falls between these two thresholds. This coloration scheme aids traders in quickly assessing market conditions and potential trading opportunities.
Calculations:
-- RSI Calculation : The traditional RSI is calculated based on the price movements of the asset. The up and down movements are determined, and exponential moving averages are used to smooth the values. The RSI value ranges from 0 to 100, with levels above 70 indicating overbought conditions and levels below 30 indicating oversold conditions.
-- Volume-Weighted RSI Calculation : The volume-weighted RSI incorporates the trading volume of the asset into the calculations. The closing price is multiplied by the corresponding volume, and the average is taken over a specific length. The up and down movements are smoothed using exponential moving averages to generate the volume-weighted RSI value.
-- Adaptive Smoothing : The indicator offers an adaptive smoothing option, allowing traders to customize the smoothing process of the volume-weighted RSI. By adjusting the smoothing length, traders can fine-tune the responsiveness of the indicator to changes in market conditions. Smoothing helps reduce noise and enhances the clarity of the signals.
Interpretation:
The indicator provides two main components for interpretation:
-- RSI : The traditional RSI reflects the price momentum and potential overbought or oversold conditions. Traders can look for RSI values above 70 as potential overbought signals, suggesting a possible price reversal or correction. Conversely, RSI values below 30 indicate potential oversold signals, indicating a potential price rebound or rally.
-- Volume-Weighted RSI : The volume-weighted RSI incorporates trading volume, which provides insights into the strength of price movements. When the volume-weighted RSI is above the traditional RSI, it suggests that the buying pressure supported by higher volume is stronger, potentially indicating a more reliable trend. Conversely, when the volume-weighted RSI is below the traditional RSI, it suggests that the selling pressure supported by higher volume is stronger, potentially indicating a more significant price reversal.
Potential Strategies:
-- Overbought and Oversold Signals : Traders can utilize the RSI component of the indicator to identify overbought and oversold conditions. A potential strategy is to consider taking short positions when the RSI is above 70 and long positions when the RSI is below 30. These levels can act as dynamic support and resistance areas, indicating possible price reversals.
-- Confirmation with Volume : Traders can use the volume-weighted RSI as a confirmation tool to validate price movements. When the volume-weighted RSI is above the traditional RSI, it may provide additional confirmation for long positions, suggesting stronger buying pressure. Conversely, when the volume-weighted RSI is below the traditional RSI, it may provide confirmation for short positions, indicating stronger selling pressure.
-- Trend Reversal Strategy : Watch for the volume-weighted RSI to reach extreme levels above 70 (overbought) or below 30 (oversold). Look for a reversal signal where the RSI line (green or fuchsia) crosses below or above the volume-weighted RSI line. Enter a trade when the reversal signal occurs, and the RSI line changes color. Exit the trade when the RSI line crosses back in the opposite direction or reaches the opposite extreme level.
-- Divergence Strategy : Compare the direction of the RSI line (green or fuchsia) with the volume-weighted RSI line. A bullish divergence occurs when the RSI line makes higher lows while the volume-weighted RSI line makes lower lows. A bearish divergence occurs when the RSI line makes lower highs while the volume-weighted RSI line makes higher highs. Once a divergence is identified, wait for the RSI line to cross above or below the volume-weighted RSI line as confirmation of a potential trend reversal. Consider using additional indicators or price action analysis to time the entry more accurately. Use stop-loss orders and profit targets to manage risk and secure profits.
-- Trend Continuation Strategy : Assess the overall trend direction by observing the RSI line's position relative to the volume-weighted RSI line. When the RSI line consistently stays above the volume-weighted RSI line, it indicates a bullish trend, while the opposite suggests a bearish trend. Look for temporary pullbacks within the ongoing trend where the RSI line (green or fuchsia) touches or crosses the volume-weighted RSI line. Enter trades in the direction of the dominant trend when the RSI line crosses back in the trend direction. Exit the trade when the RSI line starts to deviate significantly from the volume-weighted RSI line or when the trend shows signs of weakening through other technical or fundamental factors.
Limitations:
-- False Signals : Like any indicator, the "Volume-Weighted RSI with Adaptive Smoothing" may produce false signals, especially during periods of low liquidity or choppy market conditions. Traders should exercise caution and consider using additional confirmation indicators or tools to validate the signals generated by this indicator.
-- Lagging Nature : The indicator relies on historical price data and volume to calculate the RSI and volume-weighted RSI. As a result, the signals provided may have a certain degree of lag compared to real-time price action. Traders should be aware of this inherent lag and consider combining the indicator with other timely indicators to enhance the accuracy of their trading decisions.
-- Parameter Sensitivity : The indicator's effectiveness can be influenced by the choice of parameters, such as the length of the RSI, smoothing length, and adaptive smoothing option. Different market conditions may require adjustments to these parameters to optimize performance. Traders are encouraged to conduct thorough testing and analysis to determine the most suitable parameter values for their specific trading strategies and preferences.
-- Market Conditions : The indicator's performance may vary depending on the prevailing market conditions. It is essential to understand that no indicator can guarantee accurate predictions or consistently profitable trades. Traders should consider the broader market context, fundamental factors, and other technical indicators to complement the insights provided by the "Volume-Weighted RSI with Adaptive Smoothing" indicator.
-- Subjectivity : Interpretation of the indicator's signals involves subjective judgment. Traders may have varying interpretations of overbought and oversold levels, as well as the significance of the volume-weighted RSI in relation to the traditional RSI. It is crucial to combine the indicator with personal analysis and trading experience to make informed trading decisions.
Remember, no single indicator can provide foolproof trading signals. The "Volume-Weighted RSI with Adaptive Smoothing" indicator serves as a valuable tool for analyzing price strength and volume dynamics. It can assist traders in identifying potential entry and exit points, validating trends, and managing risk. However, it should be used as part of a comprehensive trading strategy that considers multiple factors and indicators to increase the likelihood of successful trades.
Объем
AlphaTrend - ScreenerScreener version of AlphaTrend indicator:
BUY / LONG when AlphaTrend line crosses above its 2 bars offsetted line, and there would be a green filling between them
SELL / SHORT when AlphaTrend line crosses below its 2 bars offsetted line, and filling would be red then.
Default values:
Coefficient: 1, which is the factor of the trailing ATR value
Common Period: 14, which is the length of ATR MFI and RSI
AlphaTrend default uses MFI in the calculation, and MFI (Money Flow Index) needs the volume data of the chart.
If your chart doesn't have the volume data, please select the "Change Calculation" option to use RSI instead of MFI.
Screener Panel:
You can explore 20 different and user-defined tickers, which can be changed from the SETTINGS (shares, crypto, commodities...) on this screener version.
The screener panel shows up right after the bars on the right side of the chart.
Tickers seen in green are the ones that are in an uptrend, according to AlphaTrend.
The ones that appear in red are those in the SELL signal, in a downtrend.
The numbers in front of each Ticker indicate how many bars passed after the last BUY or SELL signal of AlphaTrend.
For example, according to the indicator, when BTCUSDT appears in (3) and in GREEN, Bitcoin switched to BUY signal 3 bars ago.
High Volume Daily Warning Signal- Jesse Livermore // values are in %, so on right Y axis a value of 50 means 50% above the average volume of set length (default of 20)
These important confirming volume spurts often end the day with a 50 percent to 500 percent increase in the average daily volume of the stock. - Jesse Livermore
when daily volume increases by 50% of it average daily volume, it is a warning sign in the possible change of trend or pivotal point
you can select horizontal levels of interest
Volumen Salvatierra
The "Salvatierra Volume" Indicator is an indicator based and created in homage to Tom Williams (author of "Master The Markets") . It helps to interpret the volume and movements of the market, in a simple way. Its benefits are:
Helps identify climatic volumes
Helps identify if there are or not strong hands in the market
Shows if a trend is being driven by volume and if the volume is strong
Red Volume:
Weak hands only
Green Volume:
Strong Hands Testing or guiding the price
Black Volume:
volume is normal
White Candles:
Sail with very little volume
Black Candles:
candle with a lot of volume
El Indicador de "Volumen Salvatierra" es un indicador basado y creado en homenaje a Tom Williams (autor de "Master The Markets") . Ayuda a interpretar el volumen y los movimientos del mercado, de una manera sencilla. Sus beneficios son:
Ayuda a identificar los volúmenes climáticos
Ayuda a identificar los momentos en los que no hay manos fuertes en el mercado
Muestra si una tendencia esta siendo guiada por el volumen y si el volumen es fuerte
Volumen Rojo:
Solo manos débiles
Volumen Verde:
Manos Fuertes Testeando o guiando el precio
Volumen Negro:
El volumen es normal
Velas blancas:
Vela con muy poco volumen
Velas Negras:
Vela con mucho volumen
Multi-indicator by TonyMontanovThe indicator was made at the request of the subscriber of the "The trader sometimes answers"
The indicator displays:
1. Anomalous spikes in volume (i.e. the value of the volume is greater than the moving average of the volume plus a few standard deviations
2. Crossing moving averages
3. Crossing the MRSI zero line
The user can change the settings:
1. Types of moving average
2. Length sliding average
3. Number of volume standard deviations
4. Display mode
5. Index ticker
Buy/Sell singal with RSI, MA, RSI DIV1. Overview
I'll explain a strategy that uses the simple but powerful technical analysis techniques RSI, MA, VOLUME, and RSI Divergence to identify Buy/Sell signals. This strategy utilizes Pine Script of TradingView.
Our strategy is based on four fundamental components.
- RSI (Relative Strength Index)
- MA (Moving Averages)
- Volume
- RSI Divergence
By using these four techniques together, we can find potential buy/sell signals.
2. Code Interpretation
To understand the TradingView code we used, let's examine each section one by one.
- RSI Calculation: RSI is a technical indicator that measures the relative strength of a price and is often used to identify overbought or oversold conditions. In our code, we calculate the RSI over a given period.
- Moving Averages: This code calculates short-term and long-term moving averages. Moving averages represent the average price over a specific period and are used to identify long-term price trends. Their intersections are considered potential buy/sell signals.
- RSI Divergence: RSI divergence represents a mismatch between the price trend and the RSI trend. It occurs when the price makes a new high or low, but the RSI does not. This indicates a weakening of the price trend and is considered a powerful signal of trend change.
- Volume Calculation: When the volume of transactions occurring during a specific period is x times more than the average volume, it is considered a signal of trend change.
- Buy/Sell Signals: Each technical indicator generates buy or sell signals. These signals are marked as labels on the chart. In our strategy, buy/sell signals are generated when the RSI exits overbought or oversold zones, when the moving averages cross, and when RSI divergence occurs.
3. Signal Detection
3.1 Buy/Sell Signals Using RSI
The RSI indicator has a value between 0 and 100, with values over 70 generally considered the overbought zone and those under 30 as the oversold zone.
A buy signal is generated when the RSI rises from the oversold zone.
Conversely, a sell signal is generated when the RSI falls from the overbought zone.
3.2 Detecting Buy/Sell Signals Through Moving Average Crosses
Moving averages help identify price trends.
A buy signal is generated when the short-term moving average crosses the long-term moving average upward.
Conversely, a sell signal is generated when the short-term moving average crosses the long-term moving average downward.
The color of each bar can be changed according to each signal.
3.3 Detecting Signals When Volume is X Times Higher Than Average
When the volume is x times higher than average, a marker is placed above each bar.
A green marker is displayed when the buy volume is high.
A red marker is displayed when the sell volume is high.
4. Conclusion
This technical analysis strategy is very simple but effective. Using RSI, moving averages, volume, and RSI divergence, you can find effective buy/sell signals.
By leveraging Pine Script in TradingView, you can easily apply this strategy and find signals in real-time.
Always remember that risk management is important in trading. This strategy may not be effective in all market conditions, so always use appropriate risk management strategies alongside it.
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1. 개요
간단하지만 강력한 기술적 분석 전략인 RSI, MA, VOLUME, RSI Divergence를 사용한 Buy/Sell 신호 표시 전략에 대해 설명드리겠습니다.
이 전략은 트레이딩뷰의 Pine Script를 활용합니다.
우리의 전략은 다음 네 가지 기본 구성 요소에 기반합니다.
- RSI (Relative Strength Index)
- MA (Moving Averages)
- 거래량
- RSI Divergence
이 네 가지 기법을 함께 사용하여 잠재적인 매수/매도 신호를 찾아냅니다.
2. 코드 해석
우리가 사용한 트레이딩뷰 코드를 이해하기 위해 각 섹션을 하나씩 살펴보겠습니다.
RSI 계산: RSI는 가격의 상대적 강도를 측정하는 기술적 지표로, 과매수 또는 과매도 조건을 식별하는 데 자주 사용됩니다. 우리의 코드에서는 주어진 기간 동안의 RSI를 계산합니다.
이동평균: 이 코드에서는 단기 이동평균과 장기 이동평균을 계산합니다. 이동평균은 특정 기간 동안의 가격 평균을 나타내며, 가격의 장기적인 트렌드를 식별하는 데 사용됩니다. 이들의 교차점은 잠재적인 매수/매도 신호로 간주됩니다.
RSI Divergence: RSI 다이버전스는 가격 추세와 RSI 추세 사이의 불일치를 나타냅니다. 가격이 새로운 고점 또는 저점을 만들면서 RSI가 그렇지 않을 때 발생합니다. 이것은 가격 트렌드의 약화를 나타내며 강력한 트렌드 변화 신호로 간주됩니다.
VOLUME 계산 : 특정 구간동안의 평균 거래량보다 x배 이상 거래량이 많이 발생하였을때 트렌드 변화 신호로 간주됩니다.
매수/매도 신호: 각 기술적 지표는 매수 또는 매도 신호를 생성합니다. 이러한 신호는 차트에 라벨로 표시됩니다. 우리의 전략에서는 RSI가 과매도 또는 과매수 영역을 벗어날 때, 이동평균이 교차할 때, 그리고 RSI 다이버전스가 발생할 때 매수/매도 신호를 생성합니다.
3. 신호 감지
3.1 RSI를 활용한 매수/매도 신호
RSI 지표는 0에서 100 사이의 값을 가지며, 일반적으로 70 이상은 과매수 영역, 30 이하는 과매도 영역으로 간주됩니다.
과매도 영역에서 RSI가 상승하면 매수 신호가 생성됩니다.
반대로, 과매수 영역에서 RSI가 하락하면 매도 신호가 생성됩니다.
3.2 이동평균 교차로 매수/매도 신호 감지
이동평균은 가격의 트렌드를 식별하는 데 도움이 됩니다.
단기 이동평균이 장기 이동평균을 상승으로 교차하면 매수 신호가 생성됩니다.
반대로, 단기 이동평균이 장기 이동평균을 하락으로 교차하면 매도 신호가 생성됩니다.
각 신호에 따라 해당 봉의 색깔도 변경할 수 있습니다.
3.3 평균 거래량보다 x배 이상 거래량이 발생했을 때 신호 감지
평균 거래량보다 x배 이상 거래량이 발생했을 때 각 봉 위에 표시가 됩니다.
매수 거래량이 많을 경우 초록색으로 표시가 됩니다.
매도 거래량이 많을 경우 빨간색으로 표시가 됩니다.
* 모든 기준이 되는 수치와 색상은 설정에서 개인의 취향에 맞게 설정 가능합니다.
4. 결론
이 기술적 분석 전략은 매우 간단하지만 효과적입니다. RSI, 이동평균, 거래량, RSI 다이버전스를 사용하여 효과적인 매수/매도 신호를 찾을 수 있습니다.
트레이딩뷰의 Pine Script를 활용하여 이 전략을 쉽게 적용하고, 실시간으로 신호를 찾아낼 수 있습니다.
항상 거래에 있어서는 리스크 관리가 중요하다는 점을 명심하십시오. 이 전략이 모든 시장 상황에 효과적이지는 않을 수 있으므로, 항상 적절한 리스크 관리 전략을 함께 사용해야 합니다.
Underlying VWAPFor all who swear by and trade using VWAP, this is a modification of the same.
The current settings are set for NSE:BANKNIFTY , however this can easily be changed for NSE:NIFTY
*** How is this indicator different ? ***
This indicator color codes the VWAP on NSE:BANKNIFTY basis the price movement of top 6 NSE:BANKNIFTY constituents with respect to their respective VWAPs.
It uses the weights of individual underlying stocks to calculate a relative strength of NSE:BANKNIFTY 's price movement w.r.t. its VWAP.
A threshold value of 80% is set as to define if the movement is strong or not.
If the up move is strong, it is plotted as Dark Green color on VWAP.
If the down move is strong, it is plotted as Dark Red color on VWAP.
Otherwise, VWAP is white in color.
*** How to Trade using this Indicator? ***
-Buy when the VWAP is dark green. This indicates that majority of the constituents are trading above VWAP by half ATR. A change from RED or WHITE to DARK GREEN color of VWAP is go ahead to initiate a long position.
-Sell when the VWAP is dark Red. This indicates that majority of the constituents are trading below their VWAP by half ATR. A change from Green or WHITE to DARK RED color of VWAP is go ahead to initiate a Short position.
-When VWAP is white, I would recommend not to initiate any positions, at least on options side as it indicates either a range bound price movement or lack of momentum.
- If one is already in a position, Long or short, do not exit if a white VWAP appears. Having said that, other indicator based exit signals or price action based exit signals can be used to exit the position. But using this indicator only, one should exit when VWAP turns RED.
Opal - Aggr.Crypto█ OVERVIEW
The Multi-Exchange Crypto Aggregator is a unique concept ticker that gathers up to 10 tickers into one. A new OPAL Chart is created as an indicator, with its own candles and information. This information is meant to be interpreted as average information in order to reduce noise from a single ticker only. Everything is automated between assets. Our script will always check and ensure that data is received for calculations; otherwise, invalid tickers are ignored. This version is designed for Crypto Perpetual markets.
█ HOW DATA SLIPPAGE/DIFFERENCE IMPACT NOISE
This new average ticker aims to reduce noise in your candles and their live movements, avoiding most of the minor/last-second spikes, especially when they don't happen on every desired exchange at the same time. Our candles have different behaviors and highlight close-open slippage/gaps, as it seems to provide a strong reaction. Those gaps represent average slippage.
█ HOW TO USE
This should help you visualize market behaviors. Volume pressures are the origin of a lot of misunderstood things. Data analysis and observations show that makers target liquidity on both sides. Time and sessions have their own logic and will always need experience, as it is basically a gigantic Tetris game. Anyway, this should help with timing confirmations or bring confidence.
█ FEATURES
Aggregated (Tickers) Candles ▸ Aggregated OHLC candles, the idea behind the script. Set desired tickers to automate in settings. Value and Var% are displayed right next to the current candle.
Aggr. Dynamics/Levels ▸ Plot some strong levels as landmarks calculated on modified price, from Volume Weighted Average Price (VWAP) to Daily aggregated Open Price. The previous day's key level is included.
Aggr. Data Markers ▸ Plot some key markers on the chart, such as Open Pressure gaps, or estimated 3-scale liquidation bubbles with 2 confirmation modes (using different filters).
Aggr. Averages ▸ Plot up to 3 averages or HLC channels for visual ease.
█ SIGN
All of our contents are shared for educational purposes only.
Wishing you success;
OPAL - Strive for Greatness
Intraday Intensity ModesIntraday Intensity Index was created by David Bostian and its use was later featured by John Bollinger in his book "Bollinger on Bollinger Bands" . It is categorically a volume indicator and considered to be a useful tool for analyzing supply and demand dynamics in the market. By measuring the level of buying and selling pressure within a given trading session it attempts to provide insights into the strength of market participants' interest and their aggressiveness in executing trades throughout the day. It can be used in conjunction with Bollinger Bands® or other envelope type indicators as a complimentary indicator to aid in trying to identify potential turning points or trends.
Intraday intensity is calculated based upon the relationship between the price change and the volume of shares traded during each daily interval. It aims to capture the level of buying or selling activity relative to the overall volume. A high intraday intensity value suggests a higher level of buying or selling pressure, indicating a more active and potentially volatile market. Conversely, a low intraday intensity value indicates less pronounced trading activity and a potentially quieter market. Overall, intraday intensity provides a concise description of the intensity of trading activity during a particular trading session, giving traders an additional perspective on market dynamics. Note that because the calculation uses volume this indicator will only work on symbols where volume is available.
While there are pre-existing versions within community scripts, none were found to have applied the calculations necessary for the various modes that are presented within this version, which are believed to be operating in the manner originally intended when first described by Bostian and again later by Bollinger. When operating in default modes on daily or lower chart timeframes the logic used within this script tracks the intraday high, low, close and volume for the day with each progressing intraday bar.
The BB indicator was included on the top main chart to help illustrate example usage as described below. The Intraday Intensity Modes indicator is pictured operating in three different modes beneath the main chart:
• The top pane beneath the main chart shows the indicator operating as a normalized 21 day II% oscillator. A potential use while in this mode would be to look for positive values as potential confirmation of strength when price tags the upper or lower Bollinger bands, and to look for negative values as potential confirmation of weakness when price tags the upper or lower Bollinger bands.
• The middle pane shows the indicator operating as an "open ended" cumulative sum of II. A potential use while in this mode would be to look for convergence or divergence of trend when price is making new highs or lows, or while price is walking the upper or lower Bollinger bands.
• The bottom pane shows the indicator operating in standard III mode, which provides independent values per session.
Indicator Settings: Inputs tab:
Osc Length : Set to 1 disables oscillation, values greater than 1 enables oscillation for II% (Intraday Intensity percent) mode.
Tootip : Hover mouse over (i) to show recommended example Settings for various modes.
Cumulative : When enabled values are cumulatively summed for the entire chart and indicator operates in II mode.
Normalized : When enabled a rolling window of Osc Length values are summed and normalized to the rolling window's volume.
Intrabar : When enabled price range and volume are evaluated for intensity per bar instead of per day which is a departure from the original
concept. Whenever this setting is enabled the indicator should be regarded as operating in an experimental mode.
Colors For Up Down : Sets the plot colors used, may be overridden in Settings:Style tab.
Styles / Width : Sets the plot style and width used, may be overridden in Settings:Style tab.
This indicator is designed to work with any chart timeframe, with the understanding that when used on timeframes higher than daily the indicator becomes "IntraPeriod" intensity, for example on weekly bars it would be "IntraWeek" intensity. On Daily or lower timeframes the indicator operates as "IntraDay" intensity and is being updated on each bar as each day progresses. If the experimental setting Intrabar is enabled then the indicator operates as "IntraBar" intensity and is no longer constrained to daily or higher evaluations, for example with Intrabar enabled on a 4H timeframe the indicator would operate as "Intra4H" intensity.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
NSDT Horizontal VWAPThis script plots VWAP as a horizontal line starting at the most recent candle and extending backwards for a period of 10 to make it easier to see. (default is 10 but can be changed to fit your needs)
You may only want to see where VWAP is currently and not need to see the entire day. Helps keep the chart clean.
Colors and line settings can all be modified.
You can show the original VWAP plot as well for reference.
What Is the Volume-Weighted Average Price (VWAP)?
The volume-weighted average price (VWAP) is a technical analysis indicator used on intraday charts that resets at the start of every new trading session.
It's a trading benchmark that represents the average price a security has traded at throughout the day, based on both volume and price.
VWAP is important because it provides traders with pricing insight into both the trend and value of a security.
Standard Deviation Buy Sell Signals [UOI]The "Standard Deviation Buy Sell Signals" which is a Mean and VWAP Deviation Super Pack that includes many additional features is an advanced technical analysis tool designed to assist traders in making well-informed decisions in the financial markets. It incorporates various functions and calculations to provide a comprehensive analysis of price movements, trends, and potential trading opportunities in different timeframes. The Super Pack combines elements of volume-weighted average price (VWAP), mean calculation on multiple time frames, standard deviation signals and bands, overbought and oversold signals, measures of central tendency, and multiple time frame calculations of mean reversion. A truly unique indicator.
Here is the details of the supper pack and what is included:
1. VWAP (Volume-Weighted Average Price): The Mean and VWAP Deviation Super Pack includes VWAP, which calculates the average price of a security weighted by its trading volume. This helps traders identify the average price at which a significant amount of trading activity has occurred and can serve as a reference point for determining whether the current price is overvalued or undervalued.
2. Standard Deviation Signals and Bands: The Super Pack incorporates standard deviation signals and bands to measure the volatility of price movements. By calculating the standard deviation of price data, it identifies price levels that deviate significantly from the average, indicating potential overbought or oversold conditions. The standard deviation bands provide visual boundaries that help traders assess the likelihood of a price reversal or continuation. The bands are hidden to avoid too many lines but you can enable them in the setting. See image below:
3. Overbought and Oversold Signals: Using the standard deviation calculations, the Mean and VWAP Deviation Super Pack generates overbought and oversold signals. These signals indicate when a security's price has moved to an extreme level, suggesting a potential reversal or correction in the near future. Traders can use these signals to time their entries or exits in the market. You can change the RSI number in the setting to get more or less signals.
4. Measures of Central Tendency: The Super Pack incorporates measures of central tendency, such as the mean, median, or mode, to provide a sense of the average or typical price behavior. These measures help traders identify the prevailing trend or price direction and assess the likelihood of a trend continuation or reversal. This provide reassurance of whether price is too far from center in multiple time frames.
5. Multiple Time Frame Calculation of Mean Reversion: The Mean and VWAP Deviation Super Pack employs multiple time frame calculations to identify mean reversion opportunities. It compares the current price with the historical average price over different time periods, allowing traders to identify situations where the price has deviated significantly from its mean and is likely to revert back to its average value. This can be useful for swing trading or short-term trading strategies.
By combining these various functions, the Mean and VWAP Deviation Super Pack provides traders with a comprehensive analysis of price dynamics, trend strength, potential reversals, and mean reversion opportunities. It aids in making more informed trading decisions and improving overall trading performance.
Why is this super pack indicator an essential trading strategy for every trader:
Standard deviation and mean reversion are valuable tools for traders, especially when the market is in a ranging phase. A ranging market is characterized by price movements that oscillate between defined support and resistance levels, with no clear trend in either direction. In such market conditions, standard deviation and mean reversion strategies can be particularly effective. Here's why:
1. Standard Deviation: Standard deviation is a statistical measure that quantifies the volatility or dispersion of price data around its average. In a ranging market, where prices tend to fluctuate within a certain range, standard deviation can help identify overbought and oversold levels. When the price reaches the upper end of the range, the standard deviation bands widen, indicating higher volatility and a potential selling opportunity. Conversely, when the price reaches the lower end of the range, the bands narrow, suggesting lower volatility and a potential buying opportunity. Traders can use these signals to anticipate price reversals and take advantage of the predictable nature of ranging markets.
2. Mean Reversion: Mean reversion is a concept that suggests prices tend to move back toward their average or mean over time. In a ranging market, where prices repeatedly move between support and resistance levels, mean reversion strategies can be highly effective. By identifying when the price has deviated significantly from its mean, traders can anticipate a potential reversal back toward the average. When the price reaches extreme levels, indicating overbought or oversold conditions, traders can enter positions in the opposite direction, expecting the price to revert to its mean. Mean reversion strategies can be implemented using various indicators, including Bollinger Bands, moving averages, or standard deviation bands.
3. Range Boundaries: In a ranging market, the upper and lower boundaries of the price range serve as reliable reference points for traders. Standard deviation and mean reversion strategies capitalize on the repetitive nature of price movements within these boundaries. Traders can set their entry and exit points based on the standard deviation bands or mean reversion signals to take advantage of price reversals near the range boundaries. By properly identifying and reacting to these levels, traders can profit from the price oscillations within the range.
4. Risk Management: Standard deviation and mean reversion strategies provide traders with clear entry and exit points, allowing for effective risk management. By placing stop-loss orders beyond the range boundaries or the standard deviation bands, traders can limit their potential losses if the price continues to move against their positions. Additionally, by taking profits near the opposite range boundary or when the price reverts back to the mean, traders can secure their gains and maintain a disciplined approach to trading.
Standard deviation and mean reversion strategies offer traders a systematic approach to capitalize on ranging markets. But the cherry on top is the overbought and oversold signals:
The concept of overbought and oversold levels is widely used in technical analysis to identify potential reversals in price trends. Typically, indicators like the Relative Strength Index (RSI) are employed to determine when an asset may be overbought or oversold. However, you have developed a unique approach by incorporating an interactive variable with RSI and Average True Range (ATR) to create a distinct overbought and oversold signal. Here's why this approach stands out:
1. Divergence: Your approach introduces a divergence concept by combining RSI and ATR. Traditionally, overbought and oversold signals rely solely on RSI readings. However, by considering the interaction between RSI and ATR, you bring a new dimension to these signals. The divergence occurs when the RSI indicates overbought conditions while simultaneously ATR crosses over into bearish territory, or when the RSI signals oversold conditions along with ATR crossing over into bullish territory. This divergence adds an extra layer of confirmation to the overbought and oversold signals.
2. Reduced False Signals: The incorporation of ATR in conjunction with RSI helps filter out false signals that may occur during trending market conditions or short squeezes. Trend days or periods of increased volatility can cause RSI to remain in overbought or oversold territory for an extended period, generating numerous signals that may not be reliable. By considering the crossing of ATR into bearish or bullish territory, your approach adds a dynamic element to the signal generation process. This interactive variable helps ensure that the overbought and oversold signals are not solely based on RSI getting hot, reducing the likelihood of false signals during trending or volatile periods.
3. Improved Timing: The interaction between RSI and ATR provides a more nuanced approach to timing overbought and oversold signals. By waiting for the ATR to confirm the RSI signal, you introduce an additional condition that enhances the precision of the timing. The bearish or bullish crossover of ATR serves as a confirmation that market conditions align with the overbought or oversold signal indicated by RSI. This combined approach allows for more accurate entry or exit points, increasing the potential profitability of trades.
4. Customization and Adaptability: By creating this interactive variable with RSI and ATR, you have developed a customizable approach that can be adapted to different trading styles and preferences. Traders can adjust the sensitivity of the signals by modifying the parameters of the RSI and ATR. This flexibility allows for a personalized trading experience and enables traders to align the signals with their specific risk tolerance and market conditions.
This approach to overbought and oversold signals utilizing RSI and ATR introduces a unique perspective to technical analysis. By incorporating divergence and interactive variables, you enhance the reliability of these signals while reducing false readings. This approach provides improved timing and adaptability, making it a valuable tool for traders seeking to identify potential reversals in price trends with greater accuracy and confidence.
HOW to avoid fake signals?
When it comes to trading with standard deviation as a strategy, it's important to note that on extreme trend days, this indicator may generate false signals. This occurs because standard deviation is primarily designed to measure volatility and deviations from the mean in a range-bound market. During strong trending periods, the price tends to move in one direction with minimal deviations, rendering the standard deviation less effective.
To avoid trading based solely on standard deviation during extreme trend days, it is advisable to incorporate additional indicators that can provide insights into the stock's trend or squeeze conditions. These indicators can help determine whether the market is experiencing a strong trend or a squeeze, allowing you to avoid false signals generated by standard deviation.
By utilizing complementary indicators such as trend-following indicators (e.g., moving averages, trendlines) or volatility indicators (e.g., Bollinger Bands), you can gain a more comprehensive understanding of the market environment. These indicators can help confirm whether the stock is in a trending phase or experiencing a squeeze, helping you avoid entering trades solely based on standard deviation during these extreme trend days.
In summary, while standard deviation is a valuable tool in range-bound markets, it may produce unreliable signals on extreme trend days. By incorporating other indicators that provide insights into the stock's trend or squeeze conditions, traders can better assess the market environment and avoid false signals generated by standard deviation during these periods. This approach enhances the overall effectiveness and accuracy of trading strategies, leading to more informed and profitable decision-making.
[DisDev] Tactical Analysis Part I: High-Volume Recovery🟩 Tactical Analysis Part I: High-Volume Recovery . Introducing the Tactical Analysis Indicator Suite , a comprehensive three-indicator system designed to provide traders with insights into high-volume candles, Induction Recovery Zones™, market sessions, and more. This versatile tool combines elements from PVSRA, Market Maker Method by Steve Mauro, and Tino from Traders Reality's Hybrid System, to enhance your trading performance.
⚡ OVERVIEW ⚡
Key Features 🔑
Induction Candles
Induction Recovery Zones™
Session - High & Low
Tactical Windows
EMA’s
Induction Table
Benefits 💸
Gain a better understanding of market dynamics through high-volume candle analysis.
Identify potential areas of liquidity and price recovery with Induction Recovery Zones™.
Keep track of major market sessions and their impact on price action.
Enhance your trading strategies with additional insights from Tactical Windows and EMA analysis.
Monitor the performance of top cryptocurrencies at a glance with the Induction Table.
⚙️ CONFIGURATION & SETTINGS ⚙️
Inputs 🔧
Customize the settings for Induction Candles, Induction Recovery Zones™, Session lines, Tactical Windows, and the Induction Table.
Adjust the EMA periods to match your preferred trading style.
Alerts 🔔
Set up alerts for Induction Candles and Induction Recovery Zone events.
Configure alerts for session openings and Tactical Windows to stay informed of market activity.
💡 USAGE & STRATEGY 💡
Trading Strategies 📈
Incorporate high-volume candle analysis into your existing trading strategies to better understand market conditions.
Use Induction Recovery Zones™ to identify potential price reversal areas and plan entries or exits accordingly.
Monitor market sessions, Tactical Windows, and the 4hr - 50 EMA to make informed decisions about trade timing.
Timeframes and Symbols ⌚
Recommended for use on timeframes of 30 minutes or lower for accurate session line representation.
Designed for all cryptocurrency markets. Forex and other major markets are currently under development.
🤖 DETAILS & METHODOLOGY 🤖
Algorithm and Calculation 🛡️
The algorithm identifies Induction Candles based on two conditions, taking into consideration volume and candle range.
Induction Recovery Zones™ are calculated based on the Induction Candles and their potential for price recovery.
📚 ADDITONAL RESOURCES 📚
Tutorials and Guides 📖
Our website provides comprehensive tutorials and guides to help users get the most out of this three-indicator suite.
Chart Examples 📊
London Tactical Window impulse break of the high, reversal
Induction Table - Monitor up to 12 other symbol’s Induction activity
EMA Crosses, Tactical Window, Future Sessions, Static EMA’s, and Recovery Zones
TA Part 1 and Part 2 integration
🚀 CONCLUSION 🚀
The Tactical Analysis Pt 1 - High Volume Recovery indicator offers a comprehensive and powerful toolset for traders, combining high-volume candle analysis, Induction Recovery Zones™, market session tracking, Tactical Windows, and EMA analysis. This unique combination of features is designed to help you make more informed trading decisions and enhance your overall trading performance. We encourage you to try out this indicator suite and experience the benefits it can bring to your trading journey.
The complete Tactical Analysis Indicator Suite
⚠️ DISCLAIMER ⚠️
This indicator is provided as a tool for traders and should not be used as the sole basis for making trading decisions. Always conduct your own research and consider your risk tolerance before entering any trades.
High Liquidity Zones and Threshold VolumeThe High Liquidity Zones indicator is designed to identify areas of significant liquidity in the market. It helps traders recognize regions where trading volume is notably higher, indicating potential areas of increased market activity and interest.
The indicator calculates the average volume over a specified lookback period, which can be customized according to individual preferences. This average volume acts as a reference point to determine the threshold volume level. The threshold percentage input allows users to set the sensitivity of the indicator, defining the minimum volume required for an area to be considered a high liquidity zone.
When the current volume surpasses the threshold volume level, the indicator highlights these areas as high liquidity zones. This visual representation allows traders to quickly identify and focus on periods of heightened trading activity. The high liquidity zones are marked with square shapes below the histogram, providing a clear visual indication on the chart.
The first plot line represents the threshold volume level as a histogram, showing the volume levels in relation to the threshold. This histogram helps traders assess the magnitude of the volume in the identified high liquidity zones.
The second plot line represents the threshold volume's simple moving average (SMA) over the lookback period. The SMA acts as a reference line, smoothing out fluctuations in the threshold volume and providing a more stable measure of high liquidity zones. Traders can use this line to better understand the overall trend and dynamics of liquidity.
The High Liquidity Zones indicator offers flexibility, allowing traders to adapt it to their preferred trading style and timeframe. By adjusting the lookback period and threshold percentage, users can fine-tune the sensitivity of the indicator based on their trading strategies and market conditions.
Furthermore, traders can combine the High Liquidity Zones indicator with other technical analysis tools to confirm trading signals or identify areas of potential support and resistance. It can help them locate price levels where market participants have a substantial presence and where significant buying or selling pressure may occur.
Overall, the High Liquidity Zones indicator is a valuable tool for traders seeking to gain insights into market liquidity dynamics. By highlighting areas of intense trading activity, it assists in making informed trading decisions and identifying opportunities within the market.
Z Algo (Expo)█ Overview
Z Algo (Expo) is a sophisticated and user-friendly trading tool designed to meet the needs of both novice and seasoned traders. With its real-time signals, trend analysis, and risk management capabilities, this tool can be a valuable addition to any trader's toolkit.
█ Main Features & How to Use
Buy/Sell signals: Z Algo provides real-time buy and sell signals, which assist traders in identifying the most opportune moments to enter or exit a trade.
Strong Buy/Sell signals: In addition to regular buy and sell signals, the tool also offers strong buy and sell signals. These are generated when the market conditions align with a higher probability of a significant price movement.
Sniper Signals: This feature is specifically designed for contrarian traders who look to exploit temporary market inefficiencies or take advantage of price reversals. When enabled, Sniper Signals identify potential market turning points, offering traders the opportunity to profit from sharp price fluctuations.
Reversal Cloud: The Reversal Cloud is a unique visual representation of the market's potential trend reversals. It offers traders an easy-to-understand display of changing market dynamics, enabling them to quickly identify potential entry and exit points based on trend reversals.
Support and Resistance (S/R) Levels: Z Algo automatically calculates and displays support and resistance levels on the chart. These are crucial price points where buying or selling pressure may change, providing valuable insights for traders looking to enter or exit positions based on these levels.
Trend Tracker: This feature helps traders monitor and analyze the prevailing market trend. Trend Tracker identifies and highlights the direction of the trend, allowing traders to align their strategies accordingly and increase their chances of success.
Trend Background Color: To improve the user experience and simplify the interpretation of market data, Z Algo changes the chart's background color based on the identified trend direction. This visual cue makes it easier for traders to recognize bullish or bearish trends at a glance.
Bar Coloring: In addition to the trend background color, Z Algo also provides bar coloring for both contrarian and trend bars. This feature helps traders visualize price movements and trends more effectively, enabling them to identify potential opportunities for both trend-following and contrarian trading strategies.
Risk Management: The tool incorporates risk management features that help traders to protect their capital and maximize potential returns. Users can set stop-loss and take-profit levels, as well as customize their risk exposure according to their individual preferences and trading style.
█ Calculations
█ What are the Buy/Sell signals based on?
The Buy/Sell signals use volatility and price range with a weighting function that can help reduce lag and respond faster to recent price changes. The function gives more weight to the most recent volatility values and absolute price changes, making the algorithm more responsive to changes in volatility and price moves. Using a model that factors in both price changes and volatility gives a bias toward more recent data. This advanced approach to trading signal generation incorporates the concepts of trend following and mean reversion while accounting for changing market volatility.
Traditional systems often use fixed parameters, which may not adapt quickly to changes in market conditions. This can lead to late entries or exits, potentially reducing profitability or increasing risk. Our algorithm uses a weighting function to give more importance to recent volatility values, and absolute price changes can make these signals more responsive. This is especially useful in dynamic markets where price swings and volatility can change rapidly.
Adapting to Recent Price Changes: Markets can often exhibit trending behavior over certain periods. By weighing recent price changes more heavily, the model can quickly identify and react to the emergence of new trends. This can lead to earlier entries in a new trend, potentially increasing profitability.
Adapting to Recent Volatility Changes: Markets can shift from low to high volatility regimes (and vice versa) quite rapidly. A model that gives more weight to recent volatility can adapt its signals to these changing conditions. For example, in high volatility conditions, the model might generate fewer signals to reduce the risk of false breakouts. Conversely, in low volatility conditions, the model might generate more signals to capitalize on trending behavior.
Adaptive Trading: The approach inherently leads to an adaptive trading system. Rather than using fixed parameters, the system can adjust its behavior based on recent market activity. This can lead to a more robust system that performs well across different market conditions.
█ What are the Sniper signals (contrarian signals) based on?
Our contrarian signals are based on deviation from the expected value. The algorithm quantifies the amount of variation or dispersion in a set of values. Non-expected values are the fundamental core of the signal generation process.
█ Reversal Cloud Calculation
The cloud uses the information of how much the price fluctuates over a specific time period and updates its equilibrium value automatically at new price changes. The price changes are used to predict what will happen next, and the band adapts accordingly. The algorithm assumes that past price changes can predict future market behavior.
█ Support and Resistance (S/R) Levels Calculation
The support and resistance levels use historical overbought and oversold levels combined with a weighted atr function to predict future support and resistance areas. This calculation can potentially give traders a great heads-up on where the price may find support and resistance at.
█ Trend & Bar coloring Calculation
Trend calculations with dynamic events are key in ever-changing markets. The main idea of the calculation method is to find the mathematical function that best fits the data points, by minimizing the sum of the squares of the vertical distances of each data point from the equilibrium. The outcome is a function that finds the best mathematical description of that data. Hence the trend output may vary depending on the asset and timeframe. A unique approach where the same settings can give different results.
█ Risk Management Calculation
The risk management system is not unique in itself and contains everything that can help traders to manage their risk, such as different types of stop losses, Take Profits calculations.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Directional Volume EStimate from Price Action (RedK D_VESPA)The "Directional Volume EStimate from Price Action (RedK D_VESPA)" is another weapon for the VPA (Volume Price Analysis) enthusiasts and traders who like to include volume-based insights & signals to their trading. The basic concept is to estimate the sell and buy split of the traded volume by extrapolating the price action represented by the shape of the associated price bar. We then create and plot an average of these "estimated buy & sell volumes" - the estimated average Net Volume is the balance between these 2 averages.
D_VESPA uses clear visualizations to represent the outcomes in a less distracting and more actionable way.
How does D_VESPA work?
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The key assumption is that when price moves up, this is caused by "buy" volume (or increasing demand), and when the price moves down, this is due to "selling" volume (or increasing supply). Important to note that we are making our Buy/sell volume estimates here based on the shape of the price bar, and not looking into lower time frame volume data - This is a different approach and is still aligned to the key concepts of VPA.
Originally this work started as an improvement to my Supply/Demand Volume Viewer (V.Viewer) , I ended up re-writing the whole thing after some more research and work on VPA, to improve the estimation, visualization and usability / tradability.
Think of D_VESPA as the "Pro" version of V.Viewer -- and please go back and review the details of V.Viewer as the root concepts are the same so I won't repeat them here (as it comes to exploring Balance Zone and finding Price Convergence/Divergence)
Main Features of D_VESPA
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- Update Supply/Demand calculation to include 2-bar gaps (improved algo)
- Add multiple options for the moving average (MA type) for the calculation - my preference is to use WMA
- Add option to show Net Volume as 3-color bars
- Visual simplification and improvements to be less distracting & more actionable
- added options to display/hide main visuals while maintaining the status line consistency (Avg Supply, Avg Demand, Avg Net)
- add alerts for NetVol moving into Buy (crosses 0 up) or Sell (crosses 0 down) modes - or swing from one mode to the other
(there are actually 2 sets of alerts, one set for the main NetVol plot, and the other for the secondary TF NetVol - give user more options on how to utilize D_VESPA)
Quick techie piece, how does the estimated buy/sell volume algo work ?
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* per our assumption, buy volume is associated with price up-moves, sell volume is associated with price down-moves
* so each of the bulls and bears will get the equivalent of the top & bottom wicks,
* for up bars, bulls get the value of the "body", else the bears get the "body"
* open gaps are allocated to bulls or bears depending on the gap direction
The below sketch explains how D_VESPA estimates the Buy/Sell Volume split based on the bar shape (including gap) - the example shows a bullish bar with an opening gap up - but the concept is the same for a down-bar or a down-gap.
I kept both the "Volume Weighted" and "2-bar Gap Impact" as options in the indicator settings - these 2 options should be always kept selected. They are there for those who would like to experiment with the difference these changes have on the buy/sell estimation. The indicator will handle cases where there is no volume data for the selected symbol, and in that case, it will simply reflect Average Estimated Bull/Bear ratio of the price bar
The Secondary TF Est Average Net Volume:
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I added the ability to plot the Estimate Average Net Volume for a secondary timeframe - options 1W, 1D, 1H, or Same as Chart.
- this feature provides traders the confidence to trade the lower timeframes in the same direction as the prevailing "market mode"
- this also adds more MTF support beyond the existing TradingView's built-in MTF support capability - experiment with various settings between exposing the indicator's secondary TF plot, and changing the TF option in the indicator settings.
Note on the secondary TF NetVol plot:
- the secondary TF needs to be set to same as or higher TF than the chart's TF - if not, a warning sign would show and the plot will not be enabled. for example, a day trader may set the secondary TF to 1Hr or 1Day, while looking at 5min or 15min chart. A swing/trend trader who frequently uses the daily chart may set the secondary TF to weekly, and so on..
- the secondary TF NetVol plot is hidden by default and needs to be exposed thru the indicator settings.
the below chart shows D_VESPA on a the same (daily) chart, but with secondary TF plot for the weekly TF enabled
Final Thoughts
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* RedK D_VESPA is a volume indicator, that estimates buy/sell and net volume averages based on the price action reflected by the shape of the price bars - this can provide more insight on volume compared to the classic volume/VolAverage indicator and assist traders in exploring the market mode (buyers/sellers - bullish/bearish) and align trades to it.
* Because D_VESPA is a volume indicator, it can't be used alone to generate a trading signal - and needs to be combined with other indicators that analysis price value (range), momentum and trend. I recommend to at least combine D_VESPA with a variant of MACD and RSI to get a full view of the price action relative to the prevailing market and the broader trend.
* I found it very useful to take note and "read" how the Est Buy vs Est Sell lines move .. they sort of "tell a story" - experiment with this on your various chart and note the levels of estimate avg demand vs estimate avg supply that this indicator exposes for some very valuable insight about how the chart action is progressing. Please feel free to share feedback below.
Open Interest Suite [Aggregated] - By LeviathanThis script is an all-in-one indicator that uses aggregated Open Interest data to plot OI candles, Open Interest Delta, OI x rVOL, and OI RSI. It also includes tools such as an OI Distribution profile, large OI increase/decrease coloring, a Stats Screener, and much more.
You can select and have the script plot the following:
- Open Interest in the form of OHLC candles
- Open Interest Delta in the form of a histogram
- Open Interest x Relative Volume in the form of a histogram
- Open Interest RSI in the form of a line
Additional features include:
- OI Distribution Profile (It shows the distribution of open interest in the visible range on y axis. This makes it easier to identify when Open Interest is relatively high or low and at which values most of the action took place)
- Stats screener (The screener includes the real-time net Open Interest value, Rekt Longs/Rekt Shorts based on large OI decreases and Aggressive Longs/Shorts based on large OI increases)
- Coloring (You can color OI Delta nodes, background and chart candles based on large OI increases/decreases)
- more
Instructions for the settings will be provided in the tooltips shortly.
Full credit goes to @KioseffTrading for the profile generation code.
Normalized Elastic Volume Oscillator (MTF)The Multi-Timeframe Normalized Elastic Volume Oscillator combines volume analysis with multiple timeframe analysis. It provides traders with valuable insights into volume dynamics across different timeframes, helping to identify trends, potential reversals, and overbought/oversold conditions.
When using the Multi-Timeframe Normalized Elastic Volume Oscillator, consider the following guidelines:
Understanding Input Parameters : The indicator offers customizable input parameters to suit your trading preferences. You can adjust the EMA length (emaLength), scaling factor (scalingFactor), volume weighting option (volumeWeighting), and select a higher timeframe for analysis (higherTF). Experiment with these parameters to optimize the indicator for your trading strategy.
Multiple Timeframe Analysis : The Multi-Timeframe Normalized Elastic Volume Oscillator allows you to analyze volume dynamics on both the current timeframe and a higher timeframe. By comparing volume behavior across different timeframes, you gain a broader perspective on market trends and the strength of volume deviations. The higher timeframe analysis provides additional confirmation and helps identify more significant market shifts.
Normalized Values : The indicator normalizes the volume deviations on both timeframes to a consistent scale between -0.25 and 0.75. This normalization makes it easier to compare and interpret the oscillator's readings across different assets and timeframes. Positive values indicate bullish volume behavior, while negative values suggest bearish volume behavior.
Interpreting the Indicator : Pay attention to the position of the Multi-Timeframe Normalized Elastic Volume Oscillator lines relative to the zero line on both timeframes. Positive values on either timeframe indicate a bullish bias, while negative values suggest a bearish bias. The distance of the oscillator from the zero line reflects the strength of the volume deviation. Extreme readings, both positive and negative, may indicate overbought or oversold conditions, potentially signaling a trend reversal or exhaustion.
Combining with Other Indicators : For more robust trading decisions, consider combining the Multi-Timeframe Normalized Elastic Volume Oscillator with other technical analysis tools. This could include trend indicators, support/resistance levels, or candlestick patterns. By incorporating multiple indicators, you gain additional confirmation and increase the reliability of your trading signals.
Remember that the Multi-Timeframe Normalized Elastic Volume Oscillator is a valuable tool, but it should not be used in isolation. Consider other factors such as price action, market context, and fundamental analysis to make well-informed trading decisions. Additionally, practice proper risk management and exercise caution when executing trades.
By utilizing the Multi-Timeframe Normalized Elastic Volume Oscillator, you gain a comprehensive view of volume dynamics across different timeframes. This knowledge can help you identify potential market trends, confirm trading signals, and improve the timing of your trades.
Take time to familiarize yourself with the indicator and conduct thorough testing on historical data. This will help you gain confidence in its effectiveness and align it with your trading strategy. With experience and continuous evaluation, you can harness the power of the Multi-Timeframe Normalized Elastic Volume Oscillator to make informed trading decisions.
[TT] Entry ProIndicators doesnt make money, it is the concept behind the indicator that makes money. Please read and understand before contact. This is not for beginners or people who are looking for Buy Sell signals. Purely for those who can understand the concept of confluence.
This indicator will help you identify the Entry candle with confluence of SMC or Pivots or any other analysis that you use.
Rules to follow :-
1. Identify Support Resistance (Smart Money Concept), Pivots, Trendlines (Choice is Yours)
2. Once Identified S&R Look for Bearish Candle at resistance or Bullish signal at Support, mark the areas
NSE:NIFTY
3. At Support as shown above in examples if the pink candle or the confirmation candle doesnt close break the support but closes above the support area, we do not consider it as break down. Some time breakdown happens and then at retest we get the bearish signal, that will be a good entry.
4. Like wise at resistance if you cant see a bullish signal breaking the resistance area, we do not consider break out. Same as above sometimes we get a signal after breakout and while retesting. Bullish SIgnal At support example is given below
NSE:BANKNIFTY
5. Enter in to a trade right when you get the signal use less lot size when you do and once you see price coming in to the range of the colored candle keep accumulating more at OHLC areas, first at high of colored candle and then close and then HL2 areas likewise, this helps to reduce your SL.
Note:
Areas to remember and not to get confused. At Important levels (Support or Resistance) once you get a relavent signal while retesting that signal you get a counter signal do not get confused by that and exit the trade. once you enter a trade you have to remain there as long as your SL is not hit. Remember that You have to use this retest candles to enter in to a trade, but not to get scared.
How to Use this in Swing or Long term trading? Futures or Stocks !!!
Look at the setup below Use weekly Chart to analyze for investment. In the below chart you can see there is a breakout of Swing high with candle and then a retest happened Twice but that area is intact. The best strategy to consider confluence is SMC. Thats what my perfect Setup is. You can use Orderblock to see if that orderblock is valid or not. Below you can see NSE:BANKNIFTY
Few more Stocks for Example. NSE:AXISBANK
BITSTAMP:BTCUSD
OANDA:EURUSD
Strictly Not assuring any 100% results. You need to least be confident on one concept of trading to aquire results.
Open Interest Profile [Fixed Range] - By LeviathanThis script generates an aggregated Open Interest profile for any user-selected range and provides several other features and tools, such as OI Delta Profile, Positive Delta Levels, OI Heatmap, Range Levels, OIWAP, POC and much more.
The indicator will help you find levels of interest based on where other market participants are opening and closing their positions. This provides a deeper insight into market activity and serves as a foundation for various different trading strategies (trapped traders, supply and demand, support and resistance, liquidity gaps, imbalances,liquidation levels, etc). Additionally, this indicator can be used in conjunction with other tools such as Volume Profile.
Open Interest (OI) is a key metric in derivatives markets that refers to the total number of unsettled or open contracts. A contract is a mutual agreement between two parties to buy or sell an underlying asset at a predetermined price. Each contract consists of a long side and a short side, with one party consenting to buy (long) and the other agreeing to sell (short). The party holding the long position will profit from an increase in the asset's price, while the one holding the short position will profit from the price decline. Every long position opened requires a corresponding short position by another market participant, and vice versa. Although there might be an imbalance in the number of accounts or traders holding long and short contracts, the net value of positions held on each side remains balanced at a 1:1 ratio. For instance, an Open Interest of 100 BTC implies that there are currently 100 BTC worth of longs and 100 BTC worth of shorts open in the market. There might be more traders on one side holding smaller positions, and fewer on the other side with larger positions, but the net value of positions on both sides is equivalent - 100 BTC in longs and 100 BTC in shorts (1:1). Consider a scenario where a trader decides to open a long position for 1 BTC at a price of $30k. For this long order to be executed, a counterparty must take the opposite side of the contract by placing a short order for 1 BTC at the same price of $30k. When both long and short orders are matched and executed, the Open Interest increases by 1 BTC, indicating the introduction of this new contract to the market.
The meaning of fluctuations in Open Interest:
- OI Increase - signifies new positions entering the market (both longs and shorts).
- OI Decrease - indicates positions exiting the market (both longs and shorts).
- OI Flat - represents no change in open positions due to low activity or a large number of contract transfers (contracts changing hands instead of being closed).
Typically, we monitor Open Interest in the form of its running value, either on a chart or through OI Delta histograms that depict the net change in OI for each price bar. This indicator enhances Open Interest analysis by illustrating the distribution of changes in OI on the price axis rather than the time axis (akin to Volume Profiles). While Volume Profile displays the volume that occurred at a given price level, the Open Interest Profile offers insight into where traders were opening and closing their positions.
How to use the indicator?
1. Add the script to your chart
2. A prompt will appear, asking you to select the “Start Time” (start of the range) and the “End Time” (end of the range) by clicking anywhere on your chart.
3. Within a few seconds, a profile will be generated. If you wish to alter the selected range, you can drag the "Start Time" and "End Time" markers accordingly.
4. Enjoy the script and feel free to explore all the settings.
To learn more about each input in indicator settings, please read the provided tooltips. These can be accessed by hovering over or clicking on the ( i ) symbol next to the input.
Market Order Bubbles + Trapped Positions [Pt]"Market Order Bubbles + Trapped Positions" is a multifaceted TradingView indicator, employing volume data to depict intensified market activities. By highlighting aggressive buying/selling behaviors, this tool serves as a dependable aid in pinpointing potential trading reversals. Additionally, it proves an effective device for real-time market trend monitoring. The unique ability of this indicator to spotlight 'Trapped Positions'—resulting from such vigorous trading activity—helps identify crucial price levels or ranges that may lead to significant price responses.
Market Order Bubbles
The Market Order Bubbles feature capitalizes on volume data to estimate market orders. High bullish volume is indicative of a surge in buy orders, while strong bearish volume flags an increase in sell orders. These orders are visually represented by bubbles of different sizes, corresponding directly to the volume strength, thus providing traders with an immediate, intuitive understanding of market activity.
Trapped Positions/Zones
The concept of Trapped Positions emerges when sizable buy orders appear during a bearish market trend, or vice versa. For instance, if a considerable sell order is detected during a bullish uptrend, it signifies that those short positions may be 'trapped'. These positions help in plotting potential price range zones. When the price revisits these zones and the market trend maintains its bullish inclination, trapped shorts might opt for liquidation near break-even to mitigate losses. The reverse holds true in a bearish downtrend.
Trend Follower
The Trend Follower feature is a supportive tool that aims to discern price trends, color-coding candle bars for clarity. This function assists traders by presenting a simplified view of the prevailing trend, helping to minimize distractions caused by minor price shifts.
The utility of the Trend Follower is its ability to aid traders in focusing on the larger market direction. It allows traders to concentrate on the more substantial trend and make decisions that align with this broader market movement, rather than reacting to every minor price fluctuation. As a result, this feature may support traders in maintaining their positions for a longer duration, which could potentially enhance their trading outcomes. The Trend Follower, therefore, offers a helpful contribution to a balanced and effective trading approach.
In essence, the "Market Order Bubbles + Trapped Positions" indicator with its Trend Follower feature provides traders with a comprehensive understanding of market dynamics, allowing them to navigate the financial markets with increased precision and confidence. Its unique features, designed to highlight significant market activities and trends, can greatly aid in refining trading strategies, making it a potentially invaluable tool in a trader's arsenal.
Purple CloudThe above lines calculate several intermediate values used in the indicator's calculations. Here's a breakdown of each variable:
a1: Represents a modified Exponential Moving Average (EMA) of the high price series, subtracted by a Simple Moving Average (SMA) of the low price series.
a2: Takes the square root of the lowest value between the highest close price over the last 200 bars and the current close price, multiplied by a1.
b1: Represents a modified EMA of the low price series, subtracted by an SMA of the high price series.
b2: Takes the square root of the highest value between the lowest close price over the last 200 bars and the current close price, multiplied by b1.
c1: Represents the square root of a2 multiplied by b2.
These lines create multiple plots using the plot function. Each plot represents a displaced version of c1 by a certain multiple of the Average True Range (ATR) multiplied by a constant factor (0.1, 0.2, 0.3, etc.). The transparency (transp) is set to 100 for all plots.
Market Order Bubbles - By Leviathan"Market Order Bubbles" is a volume-based indicator that helps visualize the occurrences of increased aggressiveness in market buying/selling and can serve as a useful confluence for trading reversals or as a simple tool for observing real-time market dynamics.
I created Market Order Bubbles six months ago as an additional tool included in my Liquidation Levels script. Due to their popularity, I decided to publish them as a standalone indicator with some new features. The script is based on a calculation that uses volume data (imitation of CVD) and price action to estimate where there is a surge in the quantity and magnitude of market buy and sell orders. These occurrences are visualized with circles (bubbles) that appear above the bar (market buy orders) or below the bar (market sell orders). Most of the time, the approach to interpreting the bubbles is contrarian, meaning that the appearance of Market Buy Order Bubbles can serve as a confluence to look for shorts, and the appearance of Market Sell Order Bubbles can serve as a confluence to look for longs.
The concept behind taking a contrarian approach:
Market Buy Order Bubbles appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- Smarter traders getting their limit sell orders filled by aggressive buyers/stopped out shorts
⇒ Possible reversal to the downside / short-term pullback / start of ranging price action (PA)
Market Sell Order Bubbles appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- Smarter traders getting their limit buy orders filled by aggressive sellers/stopped out longs
⇒ Possible reversal to the upside / short-term pullback / start of the ranging PA
These events are identified and filtered by EMA and STDEV-based "thresholds," which can be modified in the indicator settings.
1. If the buy/sell volume exceeds the first threshold, a Small Bubble is displayed.
2. If the buy/sell volume surpasses the second threshold, a Medium Bubble is displayed.
3. If the buy/sell volume exceeds the third threshold, a Large Bubble is displayed.
Increasing the multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Decreasing the multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence less strict.
Settings Overview
"Bubble Position" - Choose whether the bubbles are displayed above/below the candle, at the candle high/low, or at the intrabar POC of the candle.
"Strength Gradient Color" - This option adjusts the transparency of the bubble's color relative to the volume on that bar.
"Threshold EMA Length" - Choose the length of the EMA used for determining the thresholds.
"Threshold STDEV Length" - Choose the length of the ta.stdev() function used on the EMA.
"Appearance Delay" - This input allows you to delay the appearance of the bubble for x number of bars. The default is 0.
"Show POC" - Show/hide intrabar POCs displayed as "-".
"Timeframe-Adjusted Settings" - Different timeframes might require different parameters. In this section, you can set custom parameters (Lengths and Multipliers) for four different timeframes, and the script will automatically switch to those settings as you browse through different timeframes.
All-In-One Auto Anchored VWAPsA chart isn't trendy without a VWAP (which stands for volume weighted average price).
This indicator allows you to choose 3 different anchored VWAPs, and customize the anchor period from one of many different options, including:
- Daily
- Weekly
- Monthly
- Quarterly
- Yearly
- All Time
- Specific Pivots
- Specific Sessions
You can then choose whether you want to anchor to the open, highest or lowest value within that period.
The indicator will automatically update every time a new anchor point is triggered. Every VWAP has colors and standard deviation bands as an optional setting.
As interest in the script grows I will continue to add new features.
